Conectar
Overweight and obesity impacts approximately 50% of pregnant women. Professional medical colleges worldwide recommend women with a higher body mass index (BMI) lose weight before conception. While diet and lifestyle interventions before pregnancy are associated with improvements in diet and modest weight loss, subsequent clinical pregnancy outcomes are poorly reported.
Our aim is to conduct a randomised controlled trial of a comprehensive lifestyle intervention for women with overweight or obesity who are planning pregnancy. We will evaluate the impact of this intervention on maternal health and well-being prior to conception; and pregnancy, birth and newborn health outcomes in a subsequent pregnancy.
Women with a BMI ≥25.0 kg/m2 who plan to conceive within 2 years will be recruited.
Women randomised to the ‘Educational Control Group’ will attend a pre-conception health consultation with a research midwife, providing limited information about obesity and associated risks in pregnancy, nutrition, exercise and weight management.
Women randomised to the ‘Pre-pregnancy Lifestyle Intervention Group’ will attend a pre-conception health consultation with a research midwife, as above, and additionally consult with a research dietitian and trained health coaches throughout the 6-month intervention period. Women will also have access to a specifically designed mHealth application providing tailored content and interactive tasks delivered bi-weekly during this time.
Secondary outcomes will include a range of maternal pre-conception health outcomes; maternal and infant pregnancy and birth outcomes; diet and physical activity changes; and quality of life.
We estimate a mean birth weight z-score of 0.43 (SD 1.09) and will recruit 800 women to detect 0.4 SD difference (alpha 0.05 (two-tailed); power 80%). Analyses will be intention to treat with estimates reported as relative risks and 95% CIs.
The study protocol was approved by the Human Research and Ethics Committee of the Women’s and Children’s Hospital, Adelaide, South Australia (HREC/17/WCHN/177; 2020/HRE01445) on 17 August 2018. The first participant was recruited in June 2021, with recruitment anticipated through 2025. The study results will be disseminated in open-access international journals, scientific meetings and conferences with stakeholders.
ACTRN 12621000128897. This study has been registered at (https://www.anzctr.org.au/).
Community health workers (CHWs) are critical to healthcare delivery in low-resource settings but often lack formal clinical training, limiting their decision-making. Large language models (LLMs) could provide real-time, context-specific support to improve referrals and management plans. This study aims to evaluate the potential utility of LLMs in assisting CHW decision-making in Rwanda.
This is a prospective, observational study conducted in Nyabihu and Musanze districts, Rwanda. Audio recordings of CHW-patient consultations will be transcribed and analysed by an LLM to generate referral decisions, differential diagnoses and management plans. These outputs, alongside CHW decisions, will be evaluated against a clinical expert panel’s consensus. The primary outcome is the appropriateness of referral decisions. Secondary outcomes include diagnostic accuracy, management plan quality, and patient and user perceptions to ambient recording of consultations. Sample size is set at 800 consultations (400 per district), powered to detect a 15–20 percentage point improvement in referral appropriateness.
Ethical approval has been obtained from the Rwandan National Ethics Committee (RNEC) (Ref number: RNEC 853/2025) in June 2025, recruitment started in July 2025 and results are expected in late 2025. Results will be disseminated via stakeholder meetings, academic conferences and peer-reviewed publication.
PACTR202504601308784.
In this study, we aimed to characterize the impact of long COVID on quality of life and approaches to symptom management among Black American adults.
As a novel condition, qualitative evidence concerning long COVID symptoms and their impact on quality of life can inform the refinement of diagnostic criteria and care plans. However, the underrepresentation of Black Americans in long COVID research is a barrier to achieving equitable care for all long COVID patients.
We employed an interpretive description study design.
We recruited a convenience sample of 15 Black American adults with long COVID. We analysed the anonymized transcripts from race-concordant, semi-structured interviews using an inductive, thematic analysis approach. We followed the SRQR reporting guidelines.
We identified four themes: (1) The impact of long COVID symptoms on personal identity and pre-existing conditions; (2) Self-management strategies for long COVID symptoms; (3) Social determinants of health and symptom management; and (4) Effects on interpersonal relationships.
Findings demonstrate the comprehensive ramifications of long COVID on the lives of Black American adults. Results also articulate how pre-existing conditions, social risk factors, distrust due to systemic racism, and the nature of interpersonal relationships can complicate symptom management.
Care approaches that support access to and implementation of integrative therapies may be best suited to meet the needs of long COVID patients. Clinicians should also prioritize eliminating patient exposure to discrimination, implicit bias, and microaggressions. This is of particular concern for long COVID patients who have symptoms that are difficult to objectively quantify, such as pain and fatigue.
While patient perspectives and experiences were the focus of this study, patients were not involved with the design or conduct of the study, data analysis or interpretation, or writing the manuscript.
FreshRSS 